Evidence map›Paper›PMID 41016996›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Cancer metabolism: bridging tumorigenesis mechanisms to treatment susceptibility.

Ji'an Liu, Dan Shan, Zhaokai Zhou, Xutao Wen, Rao Fu, Bo Xu, Peng Luo, Zhengrui Li, Ling Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ji'an LiuDepartment of Oral and Maxillofacial & Head and Neck Oncology, National Center for Stomatology, Shanghai Ninth People's Hospital, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
Dan ShanSchool of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.
Zhaokai ZhouDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Henan, 450052, China.
Xutao WenDepartment of Oral and Maxillofacial & Head and Neck Oncology, National Center for Stomatology, Shanghai Ninth People's Hospital, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
Rao FuDepartment of Oral and Maxillofacial & Head and Neck Oncology, National Center for Stomatology, Shanghai Ninth People's Hospital, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
Bo XuDepartment of Oral and Maxillofacial & Head and Neck Oncology, National Center for Stomatology, Shanghai Ninth People's Hospital, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Zhengrui LiDepartment of Oral and Cranio-Maxillofacial Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Ling ZhangDepartment of Oral and Maxillofacial & Head and Neck Oncology, National Center for Stomatology, Shanghai Ninth People's Hospital, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China. topgun1128@163.com.ORCID http://orcid.org/0000-0001-5304-5569

Funding

Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01C15the Stomatology Clinical Research Project of Nation Clinical Research Center for Oral Diseases NCRCO202330
6 · The paper itself

Abstract

Cellular metabolism has emerged as a pivotal factor influencing the viability and functionality of cancer cells. To satisfy their substantial anabolic requirements, tumor cells adopt a distinct metabolic reprogramming divergent from that of non-transformed somatic cells. This review aims to examine metabolic reprogramming in head and neck squamous cell carcinoma (HNSCC), examining its role as a fundamental aspect of cancer progression and resistance to treatment. The article systematically summarizes the key mechanisms of metabolic reprogramming in HNSCC, including enhanced glycolysis, remodeling of amino acid metabolism, and dysregulation of lipid synthesis, and discusses how these metabolic pathways facilitate tumor proliferation and metastasis by influencing the microenvironment, antioxidant defenses, and resistance to ferroptosis. Additionally, the review examines the dynamic interactions between metabolic reprogramming and the tumor microenvironment, particularly focusing on HIF-1α-driven metabolic adaptation and immune evasion mechanisms under hypoxic conditions. Finally, the potential of metabolic-targeted therapies is discussed, highlighting future research directions and their applications in personalized treatment strategies.

Indexed as

CarcinogenesisHead and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckGlycolysisHumansHypoxia-Inducible Factor 1, alpha SubunitTumor MicroenvironmentHypoxia-Inducible Factor 1, alpha SubunitGlycolysisLipid synthesisMetabolic reprogrammingMetabolic-targeted therapySquamous cell carcinomaTumor microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.